Add to ORKGWe introduce a multiplicative bias reducing estimator (MBRE) for nonparametric regression. We show that our estimator has optimal pointwise convergence rate n4/9, when positive kernels are used. A simulation study comparing our procedure with the higher order kernel method is included.Nonparametric regression bias reduction pre-whitening
This paper presents a practical and simple fully nonparametric multivariate smoothing proc...
In this article, we propose a new method of bias reduction in nonparametric regression estimation. T...
Nonparametric and semiparametric regression models are useful statistical regression models to disco...
29 pagesThe paper presents a multiplicative bias reduction estimator for nonparametric regression. T...
The paper presents a multiplicative bias reduction estimator for nonparametric regression. The appro...
A new method for bias reduction in nonparametric density estimation is proposed. The method is a sim...
The paper presents a multiplicative bias reduction estimator for nonparametric regression. The appro...
MSc (Statistics), North-West University, Potchefstroom Campus, 2015The purpose of this study is to d...
The purpose of this study is to determine the effect of three improvement methods on nonparametric k...
We propose and investigate two new methods for achieving less bias in non- parametric regression. We...
A new method for bias reduction in nonparametric density estimation is proposed. The method is a sim...
In multivariate nonparametric analysis curse of dimensionality forces one to use large smoothing par...
International audienceIn multivariate nonparametric analysis curse of dimensionality forces one to u...
In this paper, we show that Y can be introduced into data sharpening to produce non-parametric regre...
This paper proposes a nonparametric bias-reduction regression estimator which can accommodate two em...
This paper presents a practical and simple fully nonparametric multivariate smoothing proc...
In this article, we propose a new method of bias reduction in nonparametric regression estimation. T...
Nonparametric and semiparametric regression models are useful statistical regression models to disco...
29 pagesThe paper presents a multiplicative bias reduction estimator for nonparametric regression. T...
The paper presents a multiplicative bias reduction estimator for nonparametric regression. The appro...
A new method for bias reduction in nonparametric density estimation is proposed. The method is a sim...
The paper presents a multiplicative bias reduction estimator for nonparametric regression. The appro...
MSc (Statistics), North-West University, Potchefstroom Campus, 2015The purpose of this study is to d...
The purpose of this study is to determine the effect of three improvement methods on nonparametric k...
We propose and investigate two new methods for achieving less bias in non- parametric regression. We...
A new method for bias reduction in nonparametric density estimation is proposed. The method is a sim...
In multivariate nonparametric analysis curse of dimensionality forces one to use large smoothing par...
International audienceIn multivariate nonparametric analysis curse of dimensionality forces one to u...
In this paper, we show that Y can be introduced into data sharpening to produce non-parametric regre...
This paper proposes a nonparametric bias-reduction regression estimator which can accommodate two em...
This paper presents a practical and simple fully nonparametric multivariate smoothing proc...
In this article, we propose a new method of bias reduction in nonparametric regression estimation. T...
Nonparametric and semiparametric regression models are useful statistical regression models to disco...